Selection of target-binding proteins from the information of weakly enriched phage display libraries by deep sequencing and machine learning

T Ito, TD Nguyen, Y Saito, Y Kurumida, H Nakazawa… - MAbs, 2023 - Taylor & Francis
Despite the advances in surface-display systems for directed evolution, variants with high
affinity are not always enriched due to undesirable biases that increase target-unrelated …

Extensive antibody search with whole spectrum black-box optimization

A Tučs, T Ito, Y Kurumida, S Kawada, H Nakazawa… - Scientific Reports, 2024 - nature.com
In designing functional biological sequences with machine learning, the activity predictor
tends to be inaccurate due to shortage of data. Top ranked sequences are thus unlikely to …

In silico designing and optimization of anti‐epidermal growth factor receptor scaffolds by complementary‐determining regions‐grafting technique

R Rezaei Adriani, SL Mousavi Gargari… - Quantitative …, 2024 - Wiley Online Library
Monoclonal antibodies are attractive therapeutic agents in a wide range of human disorders
that bind specifically to their target through their complementary‐determining regions …

In silico designing and optimization of the anti-EGFR scaffolds by CDRs-grafting technique

SLM Gargari, RR Adriani - Authorea Preprints, 2022 - techrxiv.org
Monoclonal antibodies are attractive therapeutic agents in a wide range of human disorders
that bind specifically to their target through their complementary-determining regions …

Physicochemical, functional, and evolutionary characteristics of protein loop regions in human and Escherichia coli proteomes

L Zhang, H Nishi - bioRxiv, 2023 - biorxiv.org
Protein loops often play crucial roles in the formation of binding and enzyme active sites.
However, the general structural and biological characteristics of these loops remain unclear …